Among lossless data compression algorithms, GZIP, ZSTD, LZ4, and Snappy have emerged as prominent contenders, each offering unique trade-offs in terms of compression ratio, speed, and …

It is important to emphasize that the code for a particular symbol changes during the adaptive Huffman coding process. For example, after AADCCDD, when the character D overtakes A as the most …

A detailed examination of prominent algorithms, both lossless (bzip2, Huffman Encoding, Lempel-Ziv Compression, PPM) and lossy (DCT, Wavelet Compression, CPC, Fractal Compression), enriches …

An experimental comparison of a number of different lossless compression algorithms for text data is carried out. Several existing lossless compression methods are compared for their effectiveness.

This paper discusses different techniques for compressing data and also gives an overview of the various algorithms for lossless data compression. Different methods of data compression, mainly …

This paper aims to study data compression techniques and common lossless data compression algorithms. The structure of the research is divided into three parts.

If the com-pression and decompression processes induce no information loss, the compression scheme is lossless; otherwise, it is lossy. The next several chapters deal with lossy compression algorithms …